The news correspondents obtained a quote from the research from German Aerospace Center, "In addition, recent work has addressed the tomographic inversion under the framework of compressed sensing, thereby recovering sparse cross-range profiles from a reduced set of measurements. This paper differs from previous publications, in that it focuses on sparse expansions in the wavelet domain while working with the second-order statistics of the corresponding multibaseline measurements. In this regard, we elaborate on the conditions under which this perspective is applicable to forested areas and discuss the possibility of optimizing the acquisition geometry."
According to the news reporters, the research concluded: "Finally, we compare this approach with traditional nonparametric ones and validate it by using fully polarimetric L-band data acquired by the Experimental SAR (E-SAR) sensor of the German Aerospace Center (DLR)."
For more information on this research see: Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas. IEEE Transactions on Geoscience and Remote Sensing, 2013;51(12):5283-5295. IEEE Transactions on Geoscience and Remote Sensing can be contacted at:
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